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Everybody uses price promotions in retail. However, individual pricing is seldom used, particularly in offline retail. Marketing literature has been advocating the use of individual price discrimination for decades. Furthermore, product recommendations, ever-present in e-commerce, are also not often found in offline retail. We show the machine learning driven system behind a new promotion channel that enables retailers and manufacturers alike to target individual customers in offline retail. Lessons learned, technologies used, and machine learning approaches driving our system will be shown. Daniel Guhl has a background in economics & marketing, and got interested in data modeling during his Ph.D.. Currently, he is working as a data scientist at a Berlin based Start-up and is pursuing a postdoc at Humboldt University. He enjoys learning everyday and focuses on solving real world problems.
Revolutionizing Offline Retail Pricing & Promotions with ML - Daniel Guhl @ P...
Revolutionizing Offline Retail Pricing & Promotions with ML - Daniel Guhl @ P...
PAPIs.io
Deep Learning (DL) is becoming a big tsunami in the Machine Learning community. This talk aims at introducing DL, its motivation and main techniques. However, part of this talk is also devoted to demystify DL. What are the main advantages but also the main drawbacks of DL?. And what are the key issues that the practitioners have to consider? Roberto Paredes is an Associate Professor at Departamento de Sistemas Informáticos y Computación DSIC of the Universidad Poliécnica de Valencia UPV. He belongs to the Pattern Recognition and Human Language Technologies Research Centre PRHLT. Roberto Paredes is the Director of the PRHLT and the President of the Spanish AERFAI Association. His main research interests are around the statistical learning, machine learning and more recently neural networks and deep learning.
Demystifying Deep Learning - Roberto Paredes Palacios @ PAPIs Connect
Demystifying Deep Learning - Roberto Paredes Palacios @ PAPIs Connect
PAPIs.io
The best services have one thing in common: a superb customer experience. Banking services are no exception to this rule, and indeed the quest for an effortless, well informed, and personalized customer experience is one of the main goals of today's innovation in digital banking services. According to what Maslow has described in his "pyramid of needs", customers are seeking a more intimate and meaningful experience where banking services can actively assist the customer in performing and managing their financial life. Predictive APIs have a fundamental role in all this, as they enable a new set of customer journeys such as automatic categorization of transactions, detecting and alerting recurrent payments, pre-approving credit requests or provide better tools to fight fraud without limiting legitimate customer transactions. In this talk, I will focus on how to provide better banking services by using predictive APIs. I will describe the path on how to get there and the challenges of implementing predictive APIs in a strictly audited and regulated domain such as banking. Finally, I will briefly introduce a number of data science techniques to implement those customer journeys and describe how big/fast data engineering can be used to realize predictive data pipelines. Natalino is currently Enterprise Data Architect at ING in the Netherlands, where leads the strategy, definition, design and implementation of big/fast data solutions for data-driven applications, for personalized marketing, predictive analytics, and fraud/security management. All-round Software Architect, Data Technologist, Innovator, with 15+ years experience in research, development and management of distributed architectures and scalable services and applications.
Predictive APIs: What about Banking? - Natalino Busa @ PAPIs Connect
Predictive APIs: What about Banking? - Natalino Busa @ PAPIs Connect
PAPIs.io
Fintech startups are taking business away from traditional institutions like banks, exchanges, and brokerages. One of the reasons that these startups are able to compete with $30B+ behemoths like Credit Suisse and Goldman Sachs is their advanced decision making capabilities. By leveraging new data sources and better predictive analytics, companies like Ferratum Bank can make more accurate decisions in a fraction of the time. This talk will cover: Types of decisions you can automate Challenges in building predictive, financial apps First-hand, real-world examples Greg Lamp is the co-Founder and CTO of Yhat. In this role, Greg leads development of Yhat's core products and infrastructure and is the principal architect of the company's cloud and on-premise enterprise software applications. Greg was previously a product manager at OnDeck, a fintech startup in New York and before that an analyst at comScore. Greg is a graduate of the University of Virginia.
Microdecision making in financial services - Greg Lamp @ PAPIs Connect
Microdecision making in financial services - Greg Lamp @ PAPIs Connect
PAPIs.io
What is the future we want to create, and what can we do – starting today – to actively shape that future with general AI? This talk outlines a vision for the future of humankind once AI reaches human or superhuman levels, and leads the audience through the steps one research group is taking to get there. From the economics of smart robots and job replacement, to bionic humans exploring the universe through space travel, the talk offers a window into the work of 30 researchers focused on AI development and safety, and explains what attendees can do themselves to help make that future happen. JoEllen is the AI Safety Ambassador and Head of PR for GoodAI, a Prague-based general AI research and development company. A high school teacher by trade, she has a bachelor’s degrees in English and Philosophy from Seattle University, a master’s degree in Transatlantic Studies from Charles University in Prague, and is the recipient of Fulbright grant. JoEllen is particularly interested in how AI will affect international government and political relations.
Engineering the Future of Our Choice with General AI - JoEllen Lukavec Koeste...
Engineering the Future of Our Choice with General AI - JoEllen Lukavec Koeste...
PAPIs.io
Training deep networks is a time-consuming process, with networks for object recognition often requiring multiple days to train. For this reason, leveraging the resources of a cluster to speed up training is an important area of work. In this talk we'll show how to use an AWS Spark cluster to train a model quickly from a laptop at a very little cost (around 10€). Vincent Van Steenbergen is a freelance (big) data engineer who's working on a range of international projects, implementing systems able to handle terabytes of data, usually involving Spark, Scala, Kafka, Hadoop and Cassandra. His main interest right now is applying these techniques to solve machine learning problems. Vincent was previously a technical architect at Property. Works, a real estate startup in London and before that an R&D engineer at IDAaaS.
Distributed deep learning with spark on AWS - Vincent Van Steenbergen @ PAPIs...
Distributed deep learning with spark on AWS - Vincent Van Steenbergen @ PAPIs...
PAPIs.io
Shopping, or as the people on the other side of the counter call it, retail has become the number one breeding ground for predictive applications in the enterprise. What started as simple recommendation engines has evolved into a complex and powerful ecosystem of predictive applications that affect core processes such as pricing, replenishment and staff planning. In this talk, Ulrich Kerzel will share impact and experiences from building and operating predictive applications for large retailers, and explain why the future of retail is as much a science as an art. Dr. Ulrich Kerzel is a Senior data scientists at Blue Yonder and renowned scientist with research experience at the University of Cambridge and CERN. Ulrich Kerzel earned his PhD under Professor Dr Feindt at the US Fermi National Laboratory and at that time made a considerable contribution to core technology of NeuroBayes. After his PhD, he went to the University of Cambridge, were he was a Senior Research Fellow at Magdelene College. His research work focused on complex statistical analyses to understand the origin of matter and antimatter using data from the LHCb experiment at the Large Hadron Collider at CERN, the world’s biggest research institute for particle physics. He continued this work as a Research Fellow at CERN before he came to Blue Yonder as a senior data scientist.
How to predict the future of shopping - Ulrich Kerzel @ PAPIs Connect
How to predict the future of shopping - Ulrich Kerzel @ PAPIs Connect
PAPIs.io
We live in a world of data, of big data. A big portion of this data has been generated by humans, and particularly through their mobile phones. In fact, there are almost as many mobile phones in the world as humans. The mobile phone is the piece of technology with the highest levels of adoption in human history. We carry them with us all through the day (and night, in many cases), leaving digital traces of our physical interactions. Mobile phones have become sensors of human activity in the large scale and also the most personal devices. In my talk, I will present some of the work that we are doing at Telefonica Research in the area of human behavior understanding from data captured with mobile phones, and particularly our work in the area of Big Data for Social Good. I will highlight opportunities but also challenges that we would need to address in order to truly leverage this opportunity. Nuria Oliver is a computer scientist and Scientific Director at Telefónica. She holds a Ph.D. from the Media Lab at MIT. She is one of the most cited female computer scientist in Spain, with her research having been cited by more than 8900 publications. She is well known for her work in computational models of human behavior, human computer-interaction, intelligent user interfaces, mobile computing and big data for social good.
The emergent opportunity of Big Data for Social Good - Nuria Oliver @ PAPIs C...
The emergent opportunity of Big Data for Social Good - Nuria Oliver @ PAPIs C...
PAPIs.io
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Shortening the time from analysis to deployment with ml as-a-service — Luiz A...
Shortening the time from analysis to deployment with ml as-a-service — Luiz A...
Feature engineering — HJ Van Veen (Nubank) @@PAPIs Connect — São Paulo 2017
Feature engineering — HJ Van Veen (Nubank) @@PAPIs Connect — São Paulo 2017
Extracting information from images using deep learning and transfer learning ...
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Discovering the hidden treasure of data using graph analytic — Ana Paula Appe...
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Deep learning for sentiment analysis — André Barbosa (elo7) @PAPIs Connect — ...
Deep learning for sentiment analysis — André Barbosa (elo7) @PAPIs Connect — ...
Building machine learning service in your business — Eric Chen (Uber) @PAPIs ...
Building machine learning service in your business — Eric Chen (Uber) @PAPIs ...
Building machine learning applications locally with Spark — Joel Pinho Lucas ...
Building machine learning applications locally with Spark — Joel Pinho Lucas ...
Battery log data mining — Ramon Oliveira (Datart) @PAPIs Connect — São Paulo ...
Battery log data mining — Ramon Oliveira (Datart) @PAPIs Connect — São Paulo ...
A tensorflow recommending system for news — Fabrício Vargas Matos (Hearst tv)...
A tensorflow recommending system for news — Fabrício Vargas Matos (Hearst tv)...
Scaling machine learning as a service at Uber — Li Erran Li at #papis2016
Scaling machine learning as a service at Uber — Li Erran Li at #papis2016
Real-world applications of AI - Daniel Hulme @ PAPIs Connect
Real-world applications of AI - Daniel Hulme @ PAPIs Connect
Past, Present and Future of AI: a Fascinating Journey - Ramon Lopez de Mantar...
Past, Present and Future of AI: a Fascinating Journey - Ramon Lopez de Mantar...
Revolutionizing Offline Retail Pricing & Promotions with ML - Daniel Guhl @ P...
Revolutionizing Offline Retail Pricing & Promotions with ML - Daniel Guhl @ P...
Demystifying Deep Learning - Roberto Paredes Palacios @ PAPIs Connect
Demystifying Deep Learning - Roberto Paredes Palacios @ PAPIs Connect
Predictive APIs: What about Banking? - Natalino Busa @ PAPIs Connect
Predictive APIs: What about Banking? - Natalino Busa @ PAPIs Connect
Microdecision making in financial services - Greg Lamp @ PAPIs Connect
Microdecision making in financial services - Greg Lamp @ PAPIs Connect
Engineering the Future of Our Choice with General AI - JoEllen Lukavec Koeste...
Engineering the Future of Our Choice with General AI - JoEllen Lukavec Koeste...
Distributed deep learning with spark on AWS - Vincent Van Steenbergen @ PAPIs...
Distributed deep learning with spark on AWS - Vincent Van Steenbergen @ PAPIs...
How to predict the future of shopping - Ulrich Kerzel @ PAPIs Connect
How to predict the future of shopping - Ulrich Kerzel @ PAPIs Connect
The emergent opportunity of Big Data for Social Good - Nuria Oliver @ PAPIs C...
The emergent opportunity of Big Data for Social Good - Nuria Oliver @ PAPIs C...
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毕业原版【微信:790682806】【哥伦比亚大学毕业证(Columbia毕业证)】【微信:790682806】成绩单、外壳、offer、留信学历认证(永久存档真实可查)采用学校原版纸张、特殊工艺完全按照原版一比一制作(包括:隐形水印,阴影底纹,钢印LOGO烫金烫银,LOGO烫金烫银复合重叠,文字图案浮雕,激光镭射,紫外荧光,温感,复印防伪)行业标杆!精益求精,诚心合作,真诚制作!多年品质 ,按需精细制作,24小时接单,全套进口原装设备,十五年致力于帮助留学生解决难题,业务范围有加拿大、英国、澳洲、韩国、美国、新加坡,新西兰等学历材料,包您满意。 【我们承诺采用的是学校原版纸张(纸质、底色、纹路),我们拥有全套进口原装设备,特殊工艺都是采用不同机器制作,仿真度基本可以达到98%以上,所有工艺效果都可提前给客户展示,不满意可以根据客户要求进行调整,直到满意为止!】 【业务选择办理准则】 一、工作未确定,回国需先给父母、亲戚朋友看下文凭的情况,办理一份就读学校的毕业证【微信790682806】文凭即可 二、回国进私企、外企、自己做生意的情况,这些单位是不查询毕业证真伪的,而且国内没有渠道去查询国外文凭的真假,也不需要提供真实教育部认证。鉴于此,办理一份毕业证【微信790682806】即可 三、进国企,银行,事业单位,考公务员等等,这些单位是必需要提供真实教育部认证的,办理教育部认证所需资料众多且烦琐,所有材料您都必须提供原件,我们凭借丰富的经验,快捷的绿色通道帮您快速整合材料,让您少走弯路。 留信网认证的作用: 1:该专业认证可证明留学生真实身份 2:同时对留学生所学专业登记给予评定 3:国家专业人才认证中心颁发入库证书 4:这个认证书并且可以归档倒地方 5:凡事获得留信网入网的信息将会逐步更新到个人身份内,将在公安局网内查询个人身份证信息后,同步读取人才网入库信息 6:个人职称评审加20分 7:个人信誉贷款加10分 8:在国家人才网主办的国家网络招聘大会中纳入资料,供国家高端企业选择人才 留信网服务项目: 1、留学生专业人才库服务(留信分析) 2、国(境)学习人员提供就业推荐信服务 3、留学人员区块链存储服务 → 【关于价格问题(保证一手价格)】 我们所定的价格是非常合理的,而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格,因为我想坦诚对待大家 不想跟大家在价格方面浪费时间 对于老客户或者被老客户介绍过来的朋友,我们都会适当给一些优惠。 选择实体注册公司办理,更放心,更安全!我们的承诺:客户在留信官方认证查询网站查询到认证通过结果后付款,不成功不收费!
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毕业原版【微信:790682806】【澳洲悉尼大学毕业证(USYD毕业证书)】【微信:790682806】成绩单、外壳、offer、留信学历认证(永久存档真实可查)采用学校原版纸张、特殊工艺完全按照原版一比一制作(包括:隐形水印,阴影底纹,钢印LOGO烫金烫银,LOGO烫金烫银复合重叠,文字图案浮雕,激光镭射,紫外荧光,温感,复印防伪)行业标杆!精益求精,诚心合作,真诚制作!多年品质 ,按需精细制作,24小时接单,全套进口原装设备,十五年致力于帮助留学生解决难题,业务范围有加拿大、英国、澳洲、韩国、美国、新加坡,新西兰等学历材料,包您满意。 【我们承诺采用的是学校原版纸张(纸质、底色、纹路),我们拥有全套进口原装设备,特殊工艺都是采用不同机器制作,仿真度基本可以达到98%以上,所有工艺效果都可提前给客户展示,不满意可以根据客户要求进行调整,直到满意为止!】 【业务选择办理准则】 一、工作未确定,回国需先给父母、亲戚朋友看下文凭的情况,办理一份就读学校的毕业证【微信790682806】文凭即可 二、回国进私企、外企、自己做生意的情况,这些单位是不查询毕业证真伪的,而且国内没有渠道去查询国外文凭的真假,也不需要提供真实教育部认证。鉴于此,办理一份毕业证【微信790682806】即可 三、进国企,银行,事业单位,考公务员等等,这些单位是必需要提供真实教育部认证的,办理教育部认证所需资料众多且烦琐,所有材料您都必须提供原件,我们凭借丰富的经验,快捷的绿色通道帮您快速整合材料,让您少走弯路。 留信网认证的作用: 1:该专业认证可证明留学生真实身份 2:同时对留学生所学专业登记给予评定 3:国家专业人才认证中心颁发入库证书 4:这个认证书并且可以归档倒地方 5:凡事获得留信网入网的信息将会逐步更新到个人身份内,将在公安局网内查询个人身份证信息后,同步读取人才网入库信息 6:个人职称评审加20分 7:个人信誉贷款加10分 8:在国家人才网主办的国家网络招聘大会中纳入资料,供国家高端企业选择人才 留信网服务项目: 1、留学生专业人才库服务(留信分析) 2、国(境)学习人员提供就业推荐信服务 3、留学人员区块链存储服务 → 【关于价格问题(保证一手价格)】 我们所定的价格是非常合理的,而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格,因为我想坦诚对待大家 不想跟大家在价格方面浪费时间 对于老客户或者被老客户介绍过来的朋友,我们都会适当给一些优惠。 选择实体注册公司办理,更放心,更安全!我们的承诺:客户在留信官方认证查询网站查询到认证通过结果后付款,不成功不收费!
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The Significance of Transliteration Enhancing
mohamed Elzalabany
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如何办理滑铁卢大学毕业证(Waterloo毕业证)成绩单本科学位证原版一比一
如何办理滑铁卢大学毕业证(Waterloo毕业证)成绩单本科学位证原版一比一
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原版定制【微信:790682806】【伦敦政治经济学院毕业证(LSE毕业证)】【微信:790682806】成绩单、外壳、offer、留信学历认证(永久存档真实可查)采用学校原版纸张、特殊工艺完全按照原版一比一制作(包括:隐形水印,阴影底纹,钢印LOGO烫金烫银,LOGO烫金烫银复合重叠,文字图案浮雕,激光镭射,紫外荧光,温感,复印防伪)行业标杆!精益求精,诚心合作,真诚制作!多年品质 ,按需精细制作,24小时接单,全套进口原装设备,十五年致力于帮助留学生解决难题,业务范围有加拿大、英国、澳洲、韩国、美国、新加坡,新西兰等学历材料,包您满意。 【业务选择办理准则】 一、工作未确定,回国需先给父母、亲戚朋友看下文凭的情况,办理一份就读学校的毕业证【微信790682806】文凭即可 二、回国进私企、外企、自己做生意的情况,这些单位是不查询毕业证真伪的,而且国内没有渠道去查询国外文凭的真假,也不需要提供真实教育部认证。鉴于此,办理一份毕业证【微信790682806】即可 三、进国企,银行,事业单位,考公务员等等,这些单位是必需要提供真实教育部认证的,办理教育部认证所需资料众多且烦琐,所有材料您都必须提供原件,我们凭借丰富的经验,快捷的绿色通道帮您快速整合材料,让您少走弯路。 留信网认证的作用: 1:该专业认证可证明留学生真实身份 2:同时对留学生所学专业登记给予评定 3:国家专业人才认证中心颁发入库证书 4:这个认证书并且可以归档倒地方 5:凡事获得留信网入网的信息将会逐步更新到个人身份内,将在公安局网内查询个人身份证信息后,同步读取人才网入库信息 6:个人职称评审加20分 7:个人信誉贷款加10分 8:在国家人才网主办的国家网络招聘大会中纳入资料,供国家高端企业选择人才 留信网服务项目: 1、留学生专业人才库服务(留信分析) 2、国(境)学习人员提供就业推荐信服务 3、留学人员区块链存储服务 → 【关于价格问题(保证一手价格)】 我们所定的价格是非常合理的,而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格,因为我想坦诚对待大家 不想跟大家在价格方面浪费时间 对于老客户或者被老客户介绍过来的朋友,我们都会适当给一些优惠。 选择实体注册公司办理,更放心,更安全!我们的承诺:客户在留信官方认证查询网站查询到认证通过结果后付款,不成功不收费!
1:1原版定制伦敦政治经济学院毕业证(LSE毕业证)成绩单学位证书留信学历认证
1:1原版定制伦敦政治经济学院毕业证(LSE毕业证)成绩单学位证书留信学历认证
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This presentation explores the potential of machine learning in predicting the severity of road accidents. We will delve into the data analysis process, the chosen machine learning algorithms, and the evaluation of our model's performance. This project aims to contribute to improved emergency response times and accident prevention strategies. visit for more: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
Machine Learning for Accident Severity Prediction
Machine Learning for Accident Severity Prediction
Boston Institute of Analytics
原版定制【微信:153539019】【英国卡迪夫大学毕业证(Cardiff毕业证书)】【微信:153539019】(留信学历认证永久存档查询)采用学校原版纸张、特殊工艺完全按照原版一比一制作(包括:隐形水印,阴影底纹,钢印LOGO烫金烫银,LOGO烫金烫银复合重叠,文字图案浮雕,激光镭射,紫外荧光,温感,复印防伪)行业标杆!精益求精,诚心合作,真诚制作!多年品质 ,按需精细制作,24小时接单,全套进口原装设备,十五年致力于帮助留学生解决难题,业务范围有加拿大、英国、澳洲、韩国、美国、新加坡,新西兰等学历材料,包您满意。 【业务选择办理准则】 一、工作未确定,回国需先给父母、亲戚朋友看下文凭的情况,办理一份就读学校的毕业证【微信153539019】文凭即可 二、回国进私企、外企、自己做生意的情况,这些单位是不查询毕业证真伪的,而且国内没有渠道去查询国外文凭的真假,也不需要提供真实教育部认证。鉴于此,办理一份毕业证【微信153539019】即可 三、进国企,银行,事业单位,考公务员等等,这些单位是必需要提供真实教育部认证的,办理教育部认证所需资料众多且烦琐,所有材料您都必须提供原件,我们凭借丰富的经验,快捷的绿色通道帮您快速整合材料,让您少走弯路。 留信网认证的作用: 1:该专业认证可证明留学生真实身份 2:同时对留学生所学专业登记给予评定 3:国家专业人才认证中心颁发入库证书 4:这个认证书并且可以归档倒地方 5:凡事获得留信网入网的信息将会逐步更新到个人身份内,将在公安局网内查询个人身份证信息后,同步读取人才网入库信息 6:个人职称评审加20分 7:个人信誉贷款加10分 8:在国家人才网主办的国家网络招聘大会中纳入资料,供国家高端企业选择人才 留信网服务项目: 1、留学生专业人才库服务(留信分析) 2、国(境)学习人员提供就业推荐信服务 3、留学人员区块链存储服务 → 【关于价格问题(保证一手价格)】 我们所定的价格是非常合理的,而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格,因为我想坦诚对待大家 不想跟大家在价格方面浪费时间 对于老客户或者被老客户介绍过来的朋友,我们都会适当给一些优惠。 选择实体注册公司办理,更放心,更安全!我们的承诺:客户在留信官方认证查询网站查询到认证通过结果后付款,不成功不收费!
如何办理英国卡迪夫大学毕业证(Cardiff毕业证书)成绩单留信学历认证
如何办理英国卡迪夫大学毕业证(Cardiff毕业证书)成绩单留信学历认证
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Machine Learning & Ecommerce - by David Jones - PAPIs Connect
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MachineLearning & Ecommerce byDavidJones-TechnicalDirector-ResolveDigital
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Machinelearning&Ecommerce better.together.
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PredictiveAPIs makeitfeellikeyouhaveyourown teamofMLexperts
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Personalised recommendations
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Abandonedcartemails
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Customisedcontent
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Leadscoring
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Emailmarketing
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BenefitsofMLinEcommerce Morevisitorswithlongersessionduration Improvedretention Higherconversionrates Largerordersize Bottomline,morerevenue.
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machinelearninginecommerce deeplyenhancescustomerexperiences
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CustomersexpectMLfeatures Eveniftheydon’tknowwhatMLis
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17.
Realworldexample: UnitedCellars
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Goal:Increaserevenue Solution:Productrecommendations Implementation:PredictiveAPIs
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16kproductviews 60korders 3kproductratings
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79000rowsSmalldata
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Anydatathatlinks customerstoproducts
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Optimisedatacollection Initiallyhadnodataforloggedoutusers
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PredictionIO Opensourcemachinelearningserver Ecommercetemplates Usesestablishedimplementationofalgorithms Evaluationmetrics Productionready
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Storefront<->ProcessingQueue<->PredictionIO
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PAPIProductionTips Monitorperformance Cachewhererealtimeisnotneeded Deriveddataislowrisk
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Bricks&mortarretail inspiresanecommerceexperiencewithML
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Withwine tastepreferencesarediverse peopleusuallypreferredorwhite
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A/BTESTwithGoogleAnalytics
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FilterPredictionsAvoidanythingthatlessensrelevance Don’tshowoutofstockproducts
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A/BTestResults 45%longeraveragesession 22%increaseinconversionrate 37%increaseinaverageordersize
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71%MoreRevenue
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Wheretonext? Predictivefeaturesinmorechannels Introducenewpredictivefeatures
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Conclusion
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1 Smalldatacanbeenough Qualityiskey
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2 PredictiveAPIs areawesome
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3 MachineLearning ishighlyeffectivewith Ecommerce
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BusinessLeaders Startaproject UsePredictiveAPIs Thetimingisperfect
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